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The recent attention garnered by Internet of Things (IoT) technology for its potential to alleviate challenges faced by healthcare systems, such as those resulting from an aging population and the rise in chronic illnesses, has underscored the significance of smart healthcare. Surprisingly, no bibliometric study has been conducted on this subject to date. Consequently, this investigation aims to provide a comprehensive overview of the longitudinal state and knowledge structure of IoT in smart healthcare. To achieve this, a content analysis tool is employed for academic research, facilitating the identification of key study themes, the growth trajectory of the research topic, the top journal sources, and the distribution of nations based on subject areas. The bibliometric evaluation encompasses 614 publications published in 14 journals spanning the period from 2016 to 2022. Employing bibliographic coupling analysis, the latest developments in IoT have been uncovered within the domain of smart healthcare. The findings reveal 11 primary research topic areas that have been the focus of scholarly discourse during this period. This study highlights that the computing paradigm and network connectivity emerge as the most prominent topics within this research domain. Blockchain-based security in healthcare closely follows as the second-largest topic discussed by scholars. Additionally, the analysis indicates a significant increase in total publications for the most popular topic, peaking around 2018.

Aim: Chronic disease self-management is critical to disease prognosis and patient quality of life. Several psychological factors influence this process of self-management. In this background, the present study investigated the impact of illness perceptions and coping style on self-management in people with peritoneal dialysis (PD)., Methods: The study is a cross-sectional study. From May 2022 to January 2023, a convenience sampling method was used to recruit 246 peritoneal dialysis patients. General information questionnaire, brief illness perception questionnaire, medical coping style modes questionnaire and the self-management scale for peritoneal dialysis patients were used in this study. We used SPSS 24.0 to analyze the data, and the statistical methods included descriptive analysis, single factor analysis, Pearson correlation analysis and multiple linear regression analysis., Results: A total of 246 patients were included in this study (93.89% response rate). Cognitive representations and emotional representations were 30.40, 14.18, respectively. However, illness comprehensibility was 2.87. Illness perceptions were negative significantly correlated with self-management. With regard to coping style, our patients were more likely to adopt avoidance and resignation coping style. Confrontation and avoidance were positively related to self-management, while acceptance-resignation was negatively related., Conclusion: Self-management of peritoneal dialysis patients needs to be improved. Age, female sex, monthly income, illness perceptions and coping style were independently associated with self-management., Impact: These findings suggest that interventions that improve illness perceptions and coping style should be explored to ultimately improve their self-management. For example, patients can be provided with psychological counseling so that they can face the disease correctly, and we should pay attention to the positive role of social support., Competing Interests: This paper is available as a preprint on Research Square at: https://www.researchsquare.com/article/rs-3610367/v1 The author(s) affirm that the methods used in the data analyses are suitably applied to their data within their study design and context, and the statistical findings have been implemented and interpreted correctly. The authors report no conflicts of interest in this work., (© 2024 Zhang et al.)